# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for activity regularization layer."""

import numpy as np
import tensorflow.compat.v2 as tf

import keras
from keras.testing_infra import test_combinations


@test_combinations.run_all_keras_modes
class ActivityRegularizationTest(test_combinations.TestCase):
    def test_activity_regularization(self):
        layer = keras.layers.ActivityRegularization(l1=0.1)
        layer(keras.backend.variable(np.ones((2, 4))))
        self.assertEqual(1, len(layer.losses))
        config = layer.get_config()
        self.assertEqual(config.pop("l1"), 0.1)


if __name__ == "__main__":
    tf.test.main()
